SOTAVerified

Semantic Segmentation

Papers

Showing 49765000 of 14763 papers

TitleStatusHype
3D Medical Image Segmentation based on multi-scale MPU-NetCode0
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalizationCode0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
Mix and match networks: encoder-decoder alignment for zero-pair image translationCode0
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image SegmentationCode0
A Generative Model of People in ClothingCode0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
A Generative Appearance Model for End-to-end Video Object SegmentationCode0
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep LearningCode0
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image SegmentationCode0
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
Attentional Prototype Inference for Few-Shot SegmentationCode0
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware AssociationCode0
Minimizing Supervision for Free-space SegmentationCode0
A Contrastive Learning Scheme with Transformer Innate PatchesCode0
Mining self-similarity: Label super-resolution with epitomic representationsCode0
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imageryCode0
Contrastive Semantic-Guided Image Smoothing NetworkCode0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
Relevance Attack on DetectorsCode0
On Adversarial Robustness of Point Cloud Semantic SegmentationCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-RaysCode0
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution ImagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified